 | 2011 |
| 9 |  | Francesco Ferrari,
Aldo Solari,
Cristina Battaglia,
Silvio Bicciato:
PREDA: an R-package to identify regional variations in genomic data.
Bioinformatics 27(17): 2446-2447 (2011) |
| 8 |  | Leo Lahti,
Martin Schäfer,
Hans-Ulrich Klein,
Silvio Bicciato,
Martin Dugas:
Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review
CoRR abs/1111.4639: (2011) |
| 2010 |
| 7 |  | Marta Biasiolo,
Mattia Forcato,
Lino Possamai,
Francesco Ferrari,
Luca Agnelli,
Marta Lionetti,
Katia Todoerti,
Antonino Neri,
Massimo Marchiori,
Stefania Bortoluzzi,
Silvio Bicciato:
Critical Analysis of Transcriptional and Post-Transcriptional Regulatory Networks in Multiple Myeloma.
Pacific Symposium on Biocomputing 2010: 397-408 |
| 2009 |
| 6 |  | Andrea Bisognin,
Alessandro Coppe,
Francesco Ferrari,
Davide Risso,
Chiara Romualdi,
Silvio Bicciato,
Stefania Bortoluzzi:
A-MADMAN: Annotation-based microarray data meta-analysis tool.
BMC Bioinformatics 10: (2009) |
| 2007 |
| 5 |  | Mattia Zampieri,
Ingrid Cifola,
Dario Basso,
Roberta Spinelli,
Luca Beltrame,
Clelia Peano,
Cristina Battaglia,
Silvio Bicciato:
Locally Adaptive Statistical Procedures for the Integrative Analysis on Genomic and Transcriptional Data.
WILF 2007: 682-689 |
| 4 |  | Francesco Ferrari,
Stefania Bortoluzzi,
Alessandro Coppe,
Alexandra Sirota,
Marilyn Safran,
Michael Shmoish,
Sergio Ferrari,
Doron Lancet,
Gian Antonio Danieli,
Silvio Bicciato:
Novel definition files for human GeneChips based on GeneAnnot.
BMC Bioinformatics 8: (2007) |
| 2006 |
| 3 |  | A. Callegaro,
Dario Basso,
Silvio Bicciato:
A locally adaptive statistical procedure (LAP) to identify differentially expressed chromosomal regions.
Bioinformatics 22(21): 2658-2666 (2006) |
| 2003 |
| 2 |  | Silvio Bicciato,
A. Luchini,
Carlo Di Bello:
PCA disjoint models for multiclass cancer analysis using gene expression data.
Bioinformatics 19(5): 571-578 (2003) |
| 2001 |
| 1 |  | Silvio Bicciato,
Mario Pandin,
Giuseppe Didone,
Carlo Di Bello:
Analysis of an associative memory neural network for pattern identification in gene expression data.
BIOKDD 2001: 22-30 |